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Dec, 2024
基于深度语言模型和迁移学习的抑郁和焦虑预测
Depression and Anxiety Prediction Using Deep Language Models and Transfer Learning
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Tomasz Rutowski, Elizabeth Shriberg, Amir Harati, Yang Lu, Piotr Chlebek...
TL;DR
本研究针对传统筛查方法不足的问题，采用深度语言模型从收集的对话语音中检测抑郁和焦虑以及其共同发生情况。研究发现，当用户同时具备或不具备这两种情况时，模型的分类表现最佳，并且抑郁的潜在词序列线索比焦虑更为显著。
Abstract
Digital screening and monitoring applications can aid providers in the management of behavioral health conditions. We explore deep language models for detecting
Depression
,
Anxiety
, and their co-occurrence from c
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